var_K

Computes the variance of the random variable whose density is given by a kernel implemented in FKSUM, with coefficients beta.
 NB: coefficients will first be normalised so that the kernel is a density function.

file

Implements the method of Hofmeyr, D.P. (2021) <DOI:10.1109/TPAMI.2019.2930501> for fast evaluation of univariate kernel smoothers based on recursive computations.
Applications to the basic problems of density and regression function estimation are provided, as well as some projection pursuit methods
for which the objective is based on non-parametric functionals of the projected density, or conditional density of a response given projected
covariates.
The package is accompanied by an instructive paper in the Journal of Statistical Software <doi:10.18637/jss.v101.i03>.

David Hofmeyr

FKSUM

Fast Kernel Sums

var_K function

<dl> <dt>beta</dt>
<dd>positive numeric vector of kernel coefficients.</dd></dl>

Arguments

Variance of a kernel — var_K

<dl>

 <dt>beta</dt>
<dd>positive numeric vector of kernel coefficients.</dd>

</dl>

var_K: Variance of a kernel

Description

Usage

Value

Arguments